About the Contributors

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Yanchang Zhao is a Postdoctoral Research Fellow in Data Sciences & Knowledge Discovery Re- search Lab, Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering & IT, University of Technology, Sydney, Australia. His research interests focus on association rules, sequential patterns, clustering and post-mining. He has published more than 30 papers on the above topics, including six journal articles and two book chapters. He served as a chair of two international workshops, and a program committee member for 11 international conferences and a reviewer for 8 international journals and over a dozen of international conferences.

Chengqi Zhang is a Research Professor in Faculty of Engineering & IT, University of Technology, Sydney, Australia. He is the director of the Director of UTS Research Centre for Quantum Computa- tion and Intelligent Systems and a Chief Investigator in Data Mining Program for Australian Capital Markets on Cooperative Research Centre. He has been a chief investigator of eight research projects. His research interests include Data Mining and Multi-Agent Systems. He is a co-author of three monographs, a co-editor of nine books, and an author or co-author of more than 150 research papers. He is the chair of the ACS (Australian Computer Society) National Committee for Artificial Intelligence and Expert Systems, a chair/member of the Steering Committee for three international conference.

Longbing Cao is an Associate Professor in the Faculty of Engineering and IT, University of Tech- nology, Sydney (UTS), Australia. He is the Director of the Data Sciences & Knowledge Discovery Research Lab at the Centre for Quantum Computation and Intelligent Systems at UTS. He also holds the position of Research Leader of the Data Mining Program at the Australian Capital Markets Cooperative Research Centre. His research interests focus on data mining, multi-agent systems, and the integration of agents and data mining. He is a Senior Member of the IEEE Computer Society and SMC Society. He has over 100 publications, including monographs and edited books. He has led the investigation of around 20 research and industry projects in data mining and intelligent systems. He has served as an organiser and program committee member on over 30 international conferences and workshops in data mining and multi-agent systems. .

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Maria-Luiza Antonie received her MSc degree in Computing Science from University of Alberta. Her main research interests focus on building and improving Associative Classifiers. She is interested in data mining and machine learning and their application in healthcare. She has published more than 10

articles in international venues and has reviewed scientific articles for multiple prestigious conferences. She is currently a PhD candidate in the Department of Computing Science, University of Alberta.

Julien Blanchard earned his PhD in 2005 from Nantes University (France) and is currently an assistant professor at Polytechnic School of Nantes University. He is the author of 3 book chapters and 8 journal and international conference papers in the areas of visualization and interestingness measures for data mining.

Mirko Boettcher st ud ie d comput e r scie nce a nd psycholog y at t he Un ive r sit y of Magdeburg, Germany. After graduating in 2005 with distinction with a MSc in computer science he joined the Intelligent Sys- tems Research Centre of BT Group plc, United Kingdom, as a Research Scientist where he conducted research into industrial applications of temporal and change mining. Currently he is undertaking a PhD with the University of Magdeburg. In parallel, he is working as a software architect specialized in data mining systems. His research interests +include association rules, decision trees, approaches of change mining, and dynamic aspects of data mining in general.

Veronica Oliveira de Carvalho received her BS degree in Computer Science from UNIP (Brazil), in 2000, the MS degree in Computer Science from UFSCar (Brazil), in 2003, and the PhD degree in Computer Science from USP (Brazil), in 2007. Currently she is a professor at Faculty of Informatics, University of Oeste Paulista at Presidente Prudente, Brazil. Her research interests include machine learning and data mining.

Hacène Cherfiis presently a PhD – Research Engineer in Semantic Wed and Text Mining at INRIA - Sophia Antipolis, France. His research interests are Knowledge Engineering for texts using Natural Language Processing, and Knowledge representation with semantic Web technologies. He is involved in European research project on Semantic Virtual Engineering Environment for Product Design. Hacène CHERFI got his PhD degree in 2004 from the Henri Poincare University in Nancy, France. His PhD dissertation is about Text Mining techniques using association rules to represent textual corpora. He got in 2005 a Post-doctoral position at UQO: University of Quebec in Ottawa (Canada) dealing with automatic illustration of a text with images using their labels. Hacène CHERFI has an active publication record among which a journal (Soft Computing) and major international conferences (ECAI, ICCS on conceptual structures, Web intelligence).

Silvia Chiusano received the master’s and PhD degrees in computer engineering from the Politec- nico di Torino. She has been an assistant professor in the Dipartimento di Automatica e Informatica, Politecnico di Torino, since January 2004. Her current research interests are in the areas of data mining and database systems, in particular, integration of data mining techniques into relational DBMSs and classification of structured and sequential data.

David Chodos received an MMath in Computer Science from the University of Waterloo in 2007, and is currently pursuing a PhD in Computing Science at the University of Alberta. His research interests include data mining, web-based software, and virtual environments, with a focus on the use of virtual environments in educational settings. His research is funded by an NSERC scholarship, and involves collaboration with people from various fields including healthcare, educational psychology and business.

362 About the Contributors

Olivier Couturier received the PhD degree in computer science from University of Artois, Lens, France, in 2005. He focuses on data mining user driven approach and post mining (visualization of large amount of data). He was ATER between 2005 and 2007. He has been technical reviewer of different national and international workshops. He is currently engineer in Jouve group.

Guozhu Dong is a professor at Wright State University. He received his PhD from the University of Southern California in 1988. His main research interests are databases, data mining, and bioinformatics. He has published over 110 research papers, published a book entitled “Sequence Data Mining,” holds 3 US patents, and won the Best Paper Award from IEEE ICDM 2005. He was a program committee co-chair of the 2003 International Conference on Web-Age Information Management (WAIM) and the 2007 Joint International APWeb/WAIM Conferences. He serves on the steering committee of the WAIM conference series and the editorial board of International Journal of Information Technology. He served on over 60 conference program committees. His research has been funded by government agencies (NSF, ARC, AFRL) and private corporations. He is a senior member of IEEE and a member of ACM.

Mengling Feng is a research assistant at School of Computing, National University of Singapore. He is currently pursuing his PhD degree from Nanyang Technological University. He received his Bachelor degree in 2003 from Nanyang Technological University. His main research interests are in data mining, especially pattern mining and pattern maintenance.

Qinrong Feng was born in Shanxi, China, in 1972. She received her BS in Computational Mathemat- ics in 1994 from Shanxi University, MS in Computer Algebra in 2000 from Shanxi Normal University. She is now a PhD candidate of Computer Sciences at Tongji University of China. Her research interests include Data Mining, Rough Sets, and Granular Computing.

Magaly Lika Fujimoto Fujimoto received her BS degree in Informatics from USP (Brazil), in 2006, and the MS degree in Computer Science from USP (Brazil), in 2008. Currently she works as analyst of development in a company called ITG at São Paulo, Brazil. Her research interests include machine learning and data mining.

Paolo Garza received the master’s and PhD degrees in computer engineering from the Politecnico di Torino. He has been a postdoctoral fellow in the Dipartimento di Automatica e Informatica, Politecnico di Torino, since January 2005. His current research interests include data mining and database systems. In particular, he has worked on the classification of structured and unstructured data, clustering, and itemset mining algorithms.

Fabrice Guillet is currently a member of the LINA laboratory (CNRS 2729) at Polytechnic School of Nantes University (France). He holds a PhD in Computer Science in 1995 from the Ecole Nationale Supérieure des Télécommunications de Bretagne. He is author of 35 international publications in data mining and knowledge management. He is a foundator and a permanent member of the Steering Com- mittee of the annual EGC French-speaking conference.

Tarek Hamrouni is a PhD student at the Faculty of Sciences of Tunis (Tunisia) since 2006. He obtained his master thesis in July 2005 from the Faculty of Sciences of Tunis. Since, he is an Assistant at

363 About the Contributors

the Computer Sciences Department at the Faculty of Sciences of Tunis. His research interests include efficient extraction of informative and compact covers of interesting patterns, visualization of association rules, etc. He has been technical reviewer of different international conference, like ICFCA, CLA, FUZZ-IEEE. He published papers in international conferences, like DaWaK, ICFCA, CLA, IVVDM, and international journals, like IJFCS, SIGKDD.

Rudolf Kruse received his PhD in mathematics in 1980 and his Venia legendi in mathematics in 1984. From 1986 to 1996 he was Professor for Computer Science at the University of Braunschweig. Since 1996 he is Professor for Computer Science at the Otto-von-Guericke University of Magdeburg, Germany. His research interests are in neuro-fuzzy systems and computational intelligence. Among others, he is associate editor of Transactions on Fuzzy Systems and area editor of Fuzzy Sets and Sys- tems.Research achievements include, among others, an IEEE fellowship in 2005.

Pascale Kuntz received the MS degree in Applied Mathematics from Paris-Dauphine University and the PhD degree in Applied Mathematics from the Ecole des Hautes Etudes en Sciences Sociales, Paris in 1992. From 1992 to 1998 she was assistant professor in the Artificial Intelligence and Cognitive Science Department at the Ecole Nationale Supérieure des Télécommunications de Bretagne. In 1998, she joined the Polytechnic School of Nantes University (France), where she is currently professor of Computer Science in the LINA laboratory (CNRS 2729). She is the head of the team “KOD - KnOwledge and Decision”. She is member of the board of the French Speaking Classification Society. Her research interests include classification, graph mining and graph visualization, and post-mining.

Jinyan Li received the PhD degree in computer science from the University of Melbourne in 2001. He is an associate professor in the School of Computer Engineering, Nanyang Technological University. He has published over 90 articles in the fields of bioinformatics, data mining, and machine learning. His research focus is currently on protein structural bioinformatics, mining of statistically important discriminative patterns, mining of interaction subgraphs, and classification methods.

Guimei Liu is a research fellow at School of Computing, National University of Singapore. She received her BSc in 2000 from Peking University and her PhD in 2005 from Hong Kong University of Science & Technology. Her main research interests are in data mining and bioinformatics, especially frequent pattern mining, graph mining, protein interaction network analysis and medical data analysis.

Huawen Liu received his BSc degree in computer science from Jiangxi Normal University in 1999, and MSc degree in computer science from Jilin University, P.R. China, in 2007. At present, he is a PhD candidate in Jilin University. His research interests involve data mining, machine learning, pattern recognition and rough set, and several papers have been accepted by international journals and conferences during past two years.

Paul D. McNicholas was educated at Trinity College Dublin, Ireland, where he read an MA in mathematics, an MSc in high performance computing and a PhD in statistics. He was awarded the Barrington Medal by the Statistical and Social Inquiry Society of Ireland during the 2006/07 session for an application of association rules to the university application system in Ireland and, as such, he was the 120th Barrington Lecturer. His work in association rules has since focused on interestingness

364 About the Contributors

measures, while his other research focuses on model-based clustering. Following completion of his PhD, he accepted the position of Assistant Professor at the Department of Mathematics and Statistics at the University of Guelph in Guelph, Ontario, Canada.

Edson Augusto Melanda received his MS degree in Civil Engineering from UFSCar (Brazil), in 1998, and the PhD degree in Computer Science from USP (Brazil), in 2004. Currently he is a professor of the Federal University of São Carlos, São Carlos, Brazil, and has been engaged in teaching and researching in Urban Planning area, with emphasis in Geoprocessing. His main research topics are spatial data mining and data mining on geographic information systems.

Duoqian Miao was born in Shanxi, China, in 1964. He received his Bachelor of Science degree in Mathematics in 1985, Master of Science degree in Probability and Statistics in 1991 both from Shanxi University, and Doctor of Philosophy in Pattern Recognition and Intelligent System at Institute of Automation, Chinese Academy of Sciences in 1997. He is a Professor and Vice dean of the school of Electronics and Information Engineering of Tongji University, P.R.China. His present research interests include Rough Sets, Granular Computing, Principal Curve, Web Intelligence, and Data Mining etc. He has published more than 100 scientific articles in refereed international journals, books, and conferences. In addition, he has published 3 academics books. He is committee member of International Rough Sets Society, a senior member of the China Computer Federation (CCF).

Barzan Mozafari is currently a PhD candidate in computer science at UCLA. He has been con- ducting research on several topics under the supervision of Professor Carlo Zaniolo, since 2006. He is mainly interested in data stream mining, online recommendation systems and privacy preserving data mining. He has spent the summer of 2007 at Yahoo headquarters, enhancing their real-time targeting system as a research intern. He has also experienced from another internship at Microsoft Research Center (Redmond, summer 2008) working on distributed systems, extending their query language, and optimizing dynamic aggregations in a Map-Reduce model. Barzan received his MSc degree from UCLA in computer science and his BSc from SBU in computer engineering.

Amedeo Napoli is a computer scientist (directeur de recherche CNRS) with a doctoral degree in Mathematics (thèse de doctorat) and an habilitation degree in computer science (thèse d’état). He is currently the head of the Orpailleur research team at LORIA Laboratory in Nancy, whose main research theme is knowledge discovery guided by domain knowledge. The scientific interests of Amedeo Napoli are firstly knowledge discovery with formal and relational concept analysis, itemset and association rule extraction, text mining, and secondly, knowledge representation and reasoning, with description logics, classification-based reasoning and case-based reasoning. Amedeo Napoli has been involved in many research projects in these research domains and has authored or co-authored more than a hundred publications.

Detlef Nauck joined the Intelligent Systems Research Centre at BT in 1999. He leads the Intelligent Data Analysis Team in the Computational Intelligence Group (CIG). Detlef holds a Masters degree in Computer Science (1990) and a PhD in Computer Science (1994) both from the University of Braunsch- weig. He also holds a Venia Legendi (Habilitation) in Computer Science from the Otto-von-Guericke University of Magdeburg (2000), where he is a Visiting Senior Lecturer. He is a regular member of

365 About the Contributors

program committees for conferences on computational intelligence. Detlef’s current research interests include the application of Computational Intelligence, Intelligent Data Analysis and Machine Learning in different areas of Business Intelligence. His current projects include research in pro-active intelligent data exploration and platforms for real-time business intelligence and predictive analytics in customer relationship management.

Engelbert Mephu Nguifo is currently full professor at University Blaise Pascal (UBP, Clermont- Ferrand) and is member of the computer science, system design and optimization laboratory (LIMOS, CNRS 6158). He received the PhD degree in computer science from University of Montpellier 2, France, in 1993. He was assistant (1994-2001) and associate (2001-2008) professor at University of Artois (In- stitute of Technology of Lens), France, where he has served as head of computer science department from 1998 to 2004, and head of the technology transfer service from 2005 to 2008. He has authored and co-authored more than eighty technical papers and book chapters. He has served in the program committees of over 10 international conferences and has been technical reviewer of different international journals. He has also served as guest editors of six international journals. He is currently member of the steering committee of the international conference on Concept Lattices and their Applications (CLA). He is member of the ACM SIGKDD, and different French scientific societies (Artificial Intelligence - AFIA, Data Mining -EGC, Bioinformatics - SFBI, Classification - SFC). His main research interests are: data mining, machine learning, artificial intelligence, neural networks, bioinformatics, formal concept analysis, ontology.

Maria Cristina Ferreira de Oliveira received the BSc in Computer Science from the Universidade de São Paulo, Brazil, in 1985, and the PhD degree in Electronic Engineering from the University of Wales, Bangor, UK, in 1990. She is currently a Full Professor at the Computer Science Department of the Instituto de Ciências Matemáticas de São Carlos, at the Universidade de São Paulo, Brazil, and has been a visiting scholar at the Institute for Visualization and Perception Research at University of Massachusetts, Lowell, in 2000/2001. Her research interests are on development, implementation and validation of techniques, tools and technologies for data visualization, scientific visualization, information visualization, visual data mining and visual analytics. She has published ca. 19 papers in refereed journals and ca. 45 full papers in conference proceedings (Brazilian and International). She has also supervised 13 MSc and 6 PhD dissertations successfully completed from 1993-2007. She is a member of the Association for Computing Machinery (ACM) and of the Brazilian Computer Society (SBC).

Nicolas Pasquier received his PhD in computer science from the University Blaise Pascal of Cler- mont-Ferrand, France, in January 2000. He received the Junior Researcher Award from the INFORSID association on information systems, databases and decision systems in 2000 for his contribution to the design of efficient association rule extraction methods. He is now a faculty member as senior lecturer at the University of Nice Sophia-Antipolis and member of the GLC research group of the I3S Labora- tory of Computer Science, Signals and Systems of Sophia Antipolis (CNRS UMR-6070) in France. His current research interests include bioinformatics, data mining, knowledge discovery in databases and ontologies.

Ronaldo Cristiano Prati was awarded both the MSc and PhD in computer science from the Uni- versity of São Paulo, Brazil (2003 and 2006, respectively). His research interests include machine

366 About the Contributors

learning, data and text mining. Currently he holds a postdoctoral research position at the Laboratory of Computational Intelligence at the Institute of Mathematics and Computer Science of the University of São Paulo, Campus São Carlos.

Solange Oliveira Rezende received her MS degree in Computer Science from USP (Brazil), in 1990, the PhD degree from the Faculty of Mechanical Engineering at USP (Brazil), in 1993, and the post-doctorate degree from the University of Minnesota (USA), in 1995. Currently she is an associate professor of the University of São Paulo, São Carlos, Brazil, and has been engaged in teaching and researching in Computer Science area, with emphasis in Artificial Intelligence. Her main research topics are data and text mining and machine learning.

Georg Ruß received his master’s degree in computer science in 2006. Since October 2006 he is research assistant at the computational intelligence group at the Otto-von-Guericke-University of Magdeburg. His interests are focused on data mining and computational intelligence, especially on the application side. Currently, he is involved in data mining and prediction technologies in the area of precision agriculture and in optimization in regard to wind energy grid interfaces.

Roberta Akemi Sinoara received her BS degree in Informatics from USP (Brazil), in 2002, and the MS degree in Computer Science from USP (Brazil), in 2006. Currently she is working as a system analyst in a company called Ícaro at Campinas, Brazil. She is interested in the data mining research.

Jigui Sun received his MSc degree in mathematics and PhD degree in computer science from Jilin University in 1988 and 1993, respectively. He became a lecturer in the College of Computer Science and Technology of Jilin University in 1993. Currently, he is a professor with Jilin University, P.R. China, and dean of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education. He has wide research interests, mainly including artificial intelligence, machine learning, data mining, automation reasoning, intelligent planning and intelligent decision support system, and more than 200 papers have been accepted or published by journals and conferences.

Hetal Thakkar is currently a PhD candidate in the UCLA Computer Science Department. Since 2003, he has been working with Professor Zaniolo on data stream management systems and their languages. He has also worked as a research intern at Google (summer 2007) and IBM Almaden Research Center (summer 2005 and summer 2006), investigating click streams, data stream languages, RFID data, Web 2.0 applications, etc. His current research interests include data stream mining systems and data stream languages. Hetal received an MS in Computer Science in winter 2005 and expects to complete his PhD in fall 2008.

Yannick Toussaint is a senior researcher at INRIA in Nancy, France. His research activity com- bines Natural Language processing (information extraction from texts) with Data Mining techniques (knowledge model building in a given domain). The applications concern text mining in the context of semantic web: building ontologies from texts and semantic annotation. He was involved in the KW: Knowledge Web Network of Excellence - project funded by the European Commission 6th Framework Programme (2004–2007). Yannick TOUSSAINT is also involved in several French national projects of

367 About the Contributors

various domains such as mining texts in astronomy, detecting signals in pharma-vigilance. He is presently developing semantic annotation tools guided by the domain knowledge.

Ruizhi Wang received her BS in Computer Science in 1992 from China National University of De- fense Technology, MS in Computer Science in 2003 from Anshan University of Science and Technology, China. She is now a PhD candidate of Computer Sciences at Tongji University of China. Her research interests include data mining, statistical pattern recognition, and bioinformatics. She is currently working on biclustering algorithms and their applications to various tasks in gene expression data analysis.

Limsoon Wong is a professor of computer science and a professor of pathology at the National University of Singapore. He currently works mostly on knowledge discovery technologies and is especially interested in their application to biomedicine. Prior to that, he has done significant research in database query language theory and finite model theory, as well as significant development work in broad-scale data integration systems. Limsoon has written about 150 research papers, a few of which are among the best cited of their respective fields. He was conferred (along with a co-author of this chapter, Jinyan Li, and two other colleagues) the 2003 FEER Asian Innovation Gold Award for their work on treatment optimization of childhood leukemias. He serves on the editorial boards of Journal of Bioinformatics and Computational Biology (ICP), Bioinformatics (OUP), Drug Discovery Today (Elsevier), Information Systems (Elsevier), as well as International Journal of Information Technology (SCS). He received his BSc(Eng) in 1988 from Imperial College London and his PhD in 1994 from University of Pennsylvania.

Sadok Ben Yahia he is an associate professor at the Computer Sciences department at the Faculty of Sciences of Tunis since October 2002. He obtained his PhD in Computer Sciences from the Faculty of Sciences of Tunis in September 2001. Currently, He is leading a small group of researchers in Tunis, whose research interests include efficient extraction of informative and compact covers of association rules, visualization of association rules and soft computing. He has served in the program committees of over 8 international conferences and has been technical reviewer of different international journals. He has also served is co-guest editor of three international journals special issues. He is currently member of the steering committee of the international conference on Concept Lattices and their Applications (CLA).

Claudio Haruo Yamamoto received his BSc degree in Computer Science from the Universidade Federal de Goiás, Brazil, in 2001, and the MSc degree in Computer Science from Universidade Federal de São Carlos, Brazil, in 2003. He is currently a DSc student at Universidade de São Paulo, Brazil. He worked as a professor at Universidade Federal de Goiás and Universidade Católica de Goiás from 2003-2004. His research interests are visual data mining, information visualization, database indexing and their applications.

Osmar Zaïane received an MSc in electronics from the University of Paris XI, France, in 1989 and an MSc in Computing Science from Laval University, Canada, in 1992. He received his PhD in Computing Science from Simon Fraser University in 1999 specializing in data mining. He is an Associate Professor at the University of Alberta with research interest in novel data mining techniques and currently focuses on e-learning as well as Health Informatics applications. He regularly serves on the program committees

368 About the Contributors

of international conferences in the field of knowledge discovery and data mining and was the program co-chair for the IEEE international conference on data mining ICDM’2007. He is the editor-in-chief of ACM SIGKDD Explorations and Associate Editor of Knowledge and Information Systems.

Carlo Zaniolo is a professor of computer science at UCLA, which he joined in 1991 as the N. Fried- mann Chair in Knowledge Science. Before that, Zaniolo was a researcher at AT&T Bell Laboratories and the associate director of the Advanced Computer Technology Program of MCC, a U.S. research consortium in Austin, Texas. He received a degree in electrical engineering from Padua University, Italy, in 1969 and a PhD in computer science from UCLA in 1976. A prolific authors and program chair or co-chair of major IS conferences, his recent research focuses on data stream management systems, data mining and archival IS.

Huijie Zhang received her BSc and MSc degrees in computer science from Jilin University, P.R. China, in 1998 and 2004, respectively. Then she jointed the department of computer science, Northeast Normal University, P.R. China. Currently, she works as a lecturer. She mainly focuses her research interests on Geographical Information System (GIS), data mining and pattern recognition.

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